/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

    }

    def "detects when ports are unavailable" () {
        def reserved = []

        when:
        8.times {
            reserved.add(range.allocate())
        }

        then:
        _ * portDetector.isAvailable(_) >> { int port -> return ! (port in [103,107]) }

        and:
        ! reserved.contains(103)
        ! reserved.contains(107)

        and:
        range.allocate() == -1
    }

		if v < 0x80 {
			pos += i + 1
			arr[i] = byte(v)
			break
		}
		arr[i] = 0x80 | byte(v)
		v >>= 7
	}
	buf.pos = pos
}

// varintReserve reserves enough space in buf to hold any varint.
//
// Space reserved this way can be filled in with the varintAt method.
func (buf *traceBuf) varintReserve() int {
	p := buf.pos
	buf.pos += traceBytesPerNumber
	return p
}

// Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
//
// Developed at SunPro, a Sun Microsystems, Inc. business.
// Permission to use, copy, modify, and distribute this
// software is freely granted, provided that this notice
// is preserved.
// ====================================================
//
// __ieee754_jn(n, x), __ieee754_yn(n, x)

//
// Developed at SunPro, a Sun Microsystems, Inc. business.
// Permission to use, copy, modify, and distribute this
// software is freely granted, provided that this notice
// is preserved.
// ====================================================
//
// expm1(x)
// Returns exp(x)-1, the exponential of x minus 1.
//
// Method
//   1. Argument reduction:

						v1.ResourceMemory:        memory1Gi,
						resourceNameHugepages1Gi: memory1Gi,
					},
				},
			},
		},
		{
			desc: "valid input with multiple reserved-memory arguments",
			argc: "blah --reserved-memory=0:memory=1Gi,hugepages-1Gi=1Gi --reserved-memory=1:memory=1Gi",
			expectVal: []kubeletconfig.MemoryReservation{
				{
					NumaNode: 0,
					Limits: v1.ResourceList{
						v1.ResourceMemory:        memory1Gi,

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,

		expectedError        error
	}{
		{
			description:          "The kubelet configuration does not have reserved memory parameter",
			kubeletConfiguration: &kubeletconfig.KubeletConfiguration{},
			expectedError:        nil,
		},
		{
			description: "The kubelet configuration has valid reserved memory parameter",
			kubeletConfiguration: &kubeletconfig.KubeletConfiguration{

// Copyright 2011 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package multipart

import (
	"bytes"
	"errors"
	"internal/godebug"
	"io"
	"math"
	"net/textproto"
	"os"
	"strconv"
)

// ErrMessageTooLarge is returned by ReadForm if the message form
// data is too large to be processed.

// to "export" the model produced from various quantization passes in c++ to
// Python layer.
// Next ID: 11
message ExportedModel {
  reserved 3, 4, 7, 9;
  reserved 'variable_shared_names';
  reserved 'restore_node_name';
  reserved 'save_node_name';
  reserved 'file_prefix_tensor_name';

  GraphDef graph_def = 1;

  // Name of the initialization node (TF Operation) used for initializing